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Temporal variations and spatial distributions of heavy metals in a wastewater-irrigated soil-eggplant system and associated influencing factors

机译:废水灌溉的土壤-茄子系统中重金属的时空变化及其影响因素

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摘要

Heavy metal pollution in farmlands is highly concerned as crops' easy-uptake of heavy metal can ultimately affect consumers. In order to offer suggestions on cultivating safe quality vegetable, specifically eggplant which is widely consumed for its nutritional value and antioxidant activity, a field study was undertaken to investigate the temporal variations and spatial distributions of heavy metals in a wastewater-irrigated soil-eggplant system. In the present study, eggplants were planted in the farmlands of Weichuan village (WC) (relatively unpolluted field), Liangzhuang village (LZ) (moderately polluted field) and Minqin village (MQ) (seriously polluted field) to elucidate their temporal uptake processes of heavy metals described by the sigmoid model. Eggplant tissues from severely polluted farmlands were found with higher heavy metal concentrations and lower yields compared with other two groups. What is more, 25 farmlands along the Dongdagou stream (heavy metals polluted stream) were chosen to analyze the spatial distribution of heavy metals in soils and eggplants. Heavy metal concentrations in eggplants decreased with the decline of heavy metal concentrations in soil from upstream (pollution source) to downstream. Moreover, several methods were employed to assess bioavailability of heavy metals in soils. All the bioavailable heavy metals were found in linear positive correlations with heavy metal concentrations. Meanwhile, linear correlations were found between heavy metals in soils and eggplants. At last, redundancy analysis was used to investigate the effects of soil properties (pH, organic matter and texture of soils) and heavy metals on eggplants' uptake. The results indicated that soil heavy metals had a dominant impact on their accumulations in eggplant fruit, with a variance contribution of 78.0%, while soil properties had a regulatory effect, with a variance contribution of 5.2%.
机译:农田中重金属的污染备受关注,因为农作物易吸收重金属最终会影响消费者。为了提供栽培安全优质蔬菜的建议,特别是因营养价值和抗氧化活性而广泛食用的茄子,进行了田间研究,以研究废水灌溉的土壤-茄子系统中重金属的时空变化和空间分布。在本研究中,茄子分别种植在渭川村(WC)(相对未污染的田地),良庄村(LZ)(中度污染的田地)和民勤村(MQ)(重度污染的田地)的农田中,以阐明其时间吸收过程乙状结肠模型描述的重金属含量。与其他两组相比,发现来自严重污染农田的茄子组织的重金属含量较高,单产较低。此外,选择了沿东大沟河(重金属污染河)的25个农田来分析土壤和茄子中重金属的空间分布。茄子中的重金属浓度随着土壤中重金属浓度从上游(污染源)到下游的降低而降低。此外,采用了几种方法来评估土壤中重金属的生物利用度。发现所有可生物利用的重金属与重金属浓度呈线性正相关。同时,在土壤和茄子中的重金属之间发现线性相关。最后,利用冗余度分析法研究了土壤特性(pH,有机质和土壤质地)和重金属对茄子吸收的影响。结果表明,土壤重金属对其在茄子果实中积累的影响最大,变化贡献率为78.0%,而土壤性质具有调节作用,变化贡献率为5.2%。

著录项

  • 来源
    《Ecotoxicology and Environmental Safety》 |2018年第5期|204-214|共11页
  • 作者单位

    Lanzhou Univ, Sch Life Sci, Gansu Key Lab Biomonitoring & Bioremediat Environ, Lanzhou 730000, Gansu, Peoples R China;

    Lanzhou Univ, Sch Life Sci, Gansu Key Lab Biomonitoring & Bioremediat Environ, Lanzhou 730000, Gansu, Peoples R China;

    Lanzhou Univ, Sch Life Sci, Gansu Key Lab Biomonitoring & Bioremediat Environ, Lanzhou 730000, Gansu, Peoples R China;

    Lanzhou Univ, Sch Life Sci, Gansu Key Lab Biomonitoring & Bioremediat Environ, Lanzhou 730000, Gansu, Peoples R China;

    Lanzhou Univ, Sch Life Sci, Gansu Key Lab Biomonitoring & Bioremediat Environ, Lanzhou 730000, Gansu, Peoples R China;

    Lanzhou Univ, Sch Life Sci, Gansu Key Lab Biomonitoring & Bioremediat Environ, Lanzhou 730000, Gansu, Peoples R China;

    Lanzhou Univ, Sch Life Sci, Gansu Key Lab Biomonitoring & Bioremediat Environ, Lanzhou 730000, Gansu, Peoples R China;

    Lanzhou Univ, Sch Life Sci, Gansu Key Lab Biomonitoring & Bioremediat Environ, Lanzhou 730000, Gansu, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Heavy metal uptake; Sigmoid model; Spatial distribution; Redundancy analysis;

    机译:重金属吸收;乙状结肠模型;空间分布;冗余分析;

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